Microservices working with immutable cached entities under low latency requirements The goal is to not only reduce the number of calls to external service but also reduce the number of calls to Redis ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Abstract: Current DRAM-based memory systems face the scalability challenges in terms of memory density, energy consumption, and monetary cost. Hybrid memory architectures composed of emerging ...

Abstract: This paper proposes an extension to Apache Spark that provides automated and efficient in-memory cache management based on post-mortem dependency graph analysis. This extension allows ...

Have you ever put your keys down and then completely forgotten where to find them? The brain has to work hard to protect information in your working memory from distractions. How this process works ...

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